Fal.ai MCP Server

Example Use Cases

• 1

  Generate high-quality images or perform image-to-image transformations using Fal.ai models (Flux, SDXL) and return results to desktop or web clients.

• 2

  Produce or queue long-running media tasks (text-to-video, music generation) with progress updates and non-blocking asynchronous handling.

• 3

  Convert text-to-speech, transcribe audio, or upscale images and serve results via STDIO, HTTP/SSE, or both simultaneously.

Description

This repository provides an asynchronous Model Context Protocol (MCP) server that connects MCP clients (like Claude Desktop) to Fal.ai models for image, video, music, TTS, transcription, upscaling, and image-to-image tasks. It supports multiple transport modes (STDIO, HTTP/SSE, or dual) and is optimized for non-blocking, queued long-running tasks with progress updates. Deployable via Docker, PyPI, or source, it targets both local desktop integration and web-based access for media generation workflows.

Capabilities(18 total)